Affiliation:
1. Cairo University; Saint Petersburg State University; Port Said University
2. Cairo University
3. National Research University Higher School of Economics, Saint Petersburg Brunch
Abstract
The problem of finding relevant data while searching the internet represents a big challenge for web users due to the enormous amounts of available information on the web. These difficulties are related to the well-known problem of information overload. In this work, we propose an online web assistant called OWNA. We developed a fully integrated framework for making recommendations in real-time based on web usage mining techniques. Our work starts with preparing raw data, then extracting useful information that helps build a knowledge base as well as assigns a specific weight for certain factors. The experiments show the advantages of the proposed model against alternative approaches.
Subject
Fluid Flow and Transfer Processes,General Mathematics,General Computer Science
Cited by
3 articles.
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